Results 311 to 320 of about 897,554 (368)
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Generating Grid Multi-Scroll Attractors in Memristive Neural Networks
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2023Memristors are well suited as artificial nerve synapses owing to its unique memory function. This paper establishes a novel flux-controlled memristor model using hyperbolic function series. By taking the memristor as synapses in a Hopfield neural network
Q. Lai +2 more
semanticscholar +1 more source
Two-Memristor-Based Chaotic System With Infinite Coexisting Attractors
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021Chaotic systems with memristor are favored by academia because of diversity of dynamics. This brief reports a novel two-memristor-based 4D chaotic system. Numerical simulation shows that the system can yield infinite coexisting attractors. The generation
Q. Lai +4 more
semanticscholar +1 more source
A Unified Chaotic System with Various Coexisting Attractors
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2021This article presents a unified four-dimensional autonomous chaotic system with various coexisting attractors. The dynamic behaviors of the system are determined by its special nonlinearities with multiple zeros.
Q. Lai
semanticscholar +1 more source
An Extremely Simple Chaotic System With Infinitely Many Coexisting Attractors
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020The discovery of simple chaotic systems with complex dynamics has always been an interesting research work. This brief aims to construct an extremely simple chaotic system with infinitely many coexisting chaotic attractors.
Q. Lai +3 more
semanticscholar +1 more source
Electronics Letters, 2020
This Letter reports a new no-equilibrium chaotic system with hidden attractors and coexisting attractors. Bifurcation diagram shows that the proposed system generates chaos through period-doubling bifurcation with the variation of system parameters, and ...
Q. Lai +2 more
semanticscholar +1 more source
This Letter reports a new no-equilibrium chaotic system with hidden attractors and coexisting attractors. Bifurcation diagram shows that the proposed system generates chaos through period-doubling bifurcation with the variation of system parameters, and ...
Q. Lai +2 more
semanticscholar +1 more source
Neural Computation, 2001
Attractor networks, which map an input space to a discrete output space, are useful for pattern completion—cleaning up noisy or missing input features. However, designing a net to have a given set of attractors is notoriously tricky; training procedures are CPU intensive and often produce spurious attractors and ill-conditioned attractor basins.
Zemel, Richard S., Mozer, Michael C.
openaire +2 more sources
Attractor networks, which map an input space to a discrete output space, are useful for pattern completion—cleaning up noisy or missing input features. However, designing a net to have a given set of attractors is notoriously tricky; training procedures are CPU intensive and often produce spurious attractors and ill-conditioned attractor basins.
Zemel, Richard S., Mozer, Michael C.
openaire +2 more sources
WIREs Cognitive Science, 2009
AbstractAn attractor network is a network of neurons with excitatory interconnections that can settle into a stable pattern of firing. This article shows how attractor networks in the cerebral cortex are important for long‐term memory, short‐term memory, attention, and decision making.
openaire +2 more sources
AbstractAn attractor network is a network of neurons with excitatory interconnections that can settle into a stable pattern of firing. This article shows how attractor networks in the cerebral cortex are important for long‐term memory, short‐term memory, attention, and decision making.
openaire +2 more sources